Implement methods from recent ML papers quickly and turn them into production-grade systems
Implement methods from recent ML papers quickly and turn them into production-grade systems
Implement methods from recent ML papers quickly and turn them into production-grade systems
Implement methods from recent ML papers quickly and turn them into production-grade systems
Machine Learning Engineer
Southaven, MS · On-site
Implement methods from recent ML papers quickly and turn them into production-grade systems
Machine Learning Engineer
Southaven, MS · On-site
Implement methods from recent ML papers quickly and turn them into production-grade systems
Implement methods from recent ML papers quickly and turn them into production-grade systems
Implement methods from recent ML papers quickly and turn them into production-grade systems
Implement methods from recent ML papers quickly and turn them into production-grade systems
Implement methods from recent ML papers quickly and turn them into production-grade systems
Machine Learning Engineer
Hattiesburg, MS · On-site
Implement methods from recent ML papers quickly and turn them into production-grade systems
Machine Learning Engineer
Hattiesburg, MS · On-site
Implement methods from recent ML papers quickly and turn them into production-grade systems
Implement methods from recent ML papers quickly and turn them into production-grade systems
Implement methods from recent ML papers quickly and turn them into production-grade systems
Machine Learning Engineer
Meridian, MS · On-site
Implement methods from recent ML papers quickly and turn them into production-grade systems
Machine Learning Engineer
Meridian, MS · On-site
Implement methods from recent ML papers quickly and turn them into production-grade systems
Machine Learning Engineer
Biloxi, MS · On-site
Implement methods from recent ML papers quickly and turn them into production-grade systems
Machine Learning Engineer
Biloxi, MS · On-site
Implement methods from recent ML papers quickly and turn them into production-grade systems
Implement methods from recent ML papers quickly and turn them into production-grade systems
Implement methods from recent ML papers quickly and turn them into production-grade systems
Machine Learning Engineer
Tupelo, MS · On-site
Implement methods from recent ML papers quickly and turn them into production-grade systems
Machine Learning Engineer
Tupelo, MS · On-site
Implement methods from recent ML papers quickly and turn them into production-grade systems
Machine Learning Engineer New Grad 2024-2025 -Remote
Biloxi, MS · Remote
$51.76 - $77.74/hr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Biloxi, MS · Remote
$51.76 - $77.74/hr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Meridian, MS · Remote
$51.76 - $77.74/hr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Meridian, MS · Remote
$51.76 - $77.74/hr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Southaven, MS · On-site
$139K - $168K/yr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Southaven, MS · On-site
$139K - $168K/yr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Gulfport, MS · On-site
$139K - $168K/yr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Gulfport, MS · On-site
$139K - $168K/yr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Jackson, MS · Remote
$51.76 - $77.74/hr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Jackson, MS · Remote
$51.76 - $77.74/hr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Southaven, MS · Remote
$51.76 - $77.74/hr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Southaven, MS · Remote
$51.76 - $77.74/hr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Biloxi, MS · On-site
$139K - $168K/yr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Biloxi, MS · On-site
$139K - $168K/yr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Hattiesburg, MS · On-site
$139K - $168K/yr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Hattiesburg, MS · On-site
$139K - $168K/yr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Meridian, MS · On-site
$139K - $168K/yr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Meridian, MS · On-site
$139K - $168K/yr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
From Home Embedded Machine Learning information
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Machine Learning Engineer
Tupelo, MS
Full-time
Re-posted 23 days ago
Job description
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Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch
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Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration
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Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues
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Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy
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Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams
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Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics
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Implement methods from recent ML papers quickly and turn them into production-grade systems